David Gemperline - Director Of Bioinformatics

David Gemperline

Director Of Bioinformatics

Greater Indianapolis United States

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Summary

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Senior

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Top School

David Gemperline is a Director of Bioinformatics with over a decade of experience translating genetics and proteomics research into pharmaceutical R&D impact at Eli Lilly. He earned a PhD in Genetics from UW–Madison and progressed through roles from postdoc to director, leading teams that integrate computational methods with translational immunology. A self-taught software developer as well as a bioinformatician, he has contributed code and tests to high-profile open-source projects like seaborn, improving statistical visualization for scientific analysis. His background combines deep wet-lab insight (26S proteasome and immunology) with practical software craftsmanship, enabling robust end-to-end data workflows. Based in Greater Indianapolis, he’s known for bridging discipline silos to accelerate drug discovery while mentoring cross-functional scientists and engineers.

12 years of coding experience

5 years of employment as a software developer

B.A., Biology and Chemistry, B.A., Biology and Chemistry at Carthage College

PhD, Genetics, PhD, Genetics at University of Wisconsin-Madison

Github Skills (8)

data-visualizations10

pandas10

data-visualization10

data-visualisation10

seaborn10

python10

matplotlib10

data-science9

Programming languages (1)

Python

Github contributions (5)

mwaskom/seaborn

Mar 2016 - Apr 2016

Statistical data visualization in Python

Role in this project:

Data Scientist

Contributions:13 commits, 1 PR, 7 comments in 8 days

Contributions summary:David primarily contributed to the `seaborn` repository by adding and refining functionality related to confidence intervals and error bar caps in categorical plots. This included modifying the plotting code to incorporate these features, adjusting the documentation, and writing tests to validate the new functionality. The user’s work focused on improving the visualization capabilities and accuracy of the library, specifically in the area of statistical data presentation.

data-analysispythonstatisticsdata-sciencestatistical

dcgemperline/Morpheus_SpC

May 2014 - Feb 2018

Contributions:3 releases, 52 commits, 23 pushes in 3 years 9 months

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